A hands-on approach with the lab
In this section, you will learn how to design a piece of architecture on the cloud leveraging the concepts that you have learned in this chapter. Specifically, you will continue to use the lambda architecture pattern introduced in Chapter 5, Ingesting and Streaming Data from the Edge, to process the data on the cloud:
Figure 6.7 – Hands-on architecture
In the previous chapter, you already completed steps 1 and 4. This chapter will help you to complete steps 2, 3, 5, 6, and 7, which includes consuming the telemetry data and building an analytics pipeline for performing BI:
Figure 6.8 – Hands-on lab components
In this hands-on section, your objectives include the following:
- Query the ODS.
- Build an API interface layer to enable data consumption.
- Build an ETL layer for processing telemetry data in the data lake.
- Visualize the data through a BI tool.
